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Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

Section titled “Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities”

⚠️ AI 生成 · 建议对照原文 本页为自动整理的学习笔记;关键数据与引用如需引用,请回查 PDF / 官方版本。

学习档位 自动卡

类型 文献 · 更新 2026-07-19

所属 强化学习

AI analysis (heuristic fallback, needs-source-verification)

Section titled “AI analysis (heuristic fallback, needs-source-verification)”

Status: metadata_only · Source: metadata

Metadata-only card for Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities.

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生成:2026-07-21 · 来源条数 0 · 模型 heuristic · 需人工核验数字

围绕「Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities」的核心问题与动机(待结合全文核验)。

  • 见原文方法章节;以下为基于摘要/摘录的要点提示。
  • 本地摘录暂缺。

与相近工作的关系待核验;请对照 related work。

  • 勿仅凭摘要推断未给出的数值指标。
  1. 这篇工作的输入/输出表示是什么?(Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities)
  2. 训练目标与评测协议各是什么?
  3. 主要失败模式或局限是什么?
  • (本次未抓取到白名单二次解读页)
flowchart LR
A["输入 / 观测"] --> B["表示 / 编码"]
B --> C["推理 / 解码"]
C --> D["输出 / 动作或检测"]
%% method sketch for: Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements,

方法结构示意(重绘;细节以原论文为准,待 PDF 核验)。

展开英文 Paper Card / AI deep analysis
Field Content
Year 2024
Authors Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger
arXiv —
DOI 10.1613/jair.1.15348
Topics reinforcement-learning
展开 Extract / Selections / Local assets
  • reinforcement-learning: tier=recent rank=5 score=55 — auto refresh 2026-07-19 sources=openalex
(no PDF text available; metadata-only card)